Databricks, Inc. patent applications on December 12th, 2024
Patent Applications by Databricks, Inc. on December 12th, 2024
Databricks, Inc.: 1 patent applications
Databricks, Inc. has applied for patents in the areas of G06N20/00 (1) G06N20/00 (1)
With keywords such as: features, machine, learning, feature, functions, service, executed, training, use, and data in patent application abstracts.
Patent Applications by Databricks, Inc.
Inventor(s): Matei Zaharia of San Francisco CA (US) for databricks, inc., Avesh Singh of San Francisco CA (US) for databricks, inc., Mani Parkhe of San Francisco (UA) for databricks, inc., Maxim Lukiyanov of San Francisco CA (US) for databricks, inc., Xiangrui Meng of San Francisco CA (US) for databricks, inc., Aakrati Talati of San Francisco CA (US) for databricks, inc., Chenen Liang of San Francisco CA (US) for databricks, inc., Kasey Uhlenhuth of San Francisco CA (US) for databricks, inc.
IPC Code(s): G06N20/00
CPC Code(s): G06N20/00
Abstract: a system performs training and execution of machine learning models that use on-demand features using feature functions. the system receives commands for registering metadata associated with a machine learning model. the machine learning model may process a set of features including on-demand features as well as other features such as batch features. the system executes the command by storing an association between the machine learning model and the feature functions associated with any on-demand features processed by the machine learning model. the feature functions are executed using an end point of a data asset service. the use of the data asset service for invoking the feature functions ensures that the same set of instructions is executed during model training and model inferencing, thereby avoiding model skew.
